inv.hpp

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#pragma once
 
#include <algorithm>
#include <string>
 
#include "NumCpp/Core/Internal/Error.hpp"
#include "NumCpp/Core/Internal/StaticAsserts.hpp"
#include "NumCpp/Core/Shape.hpp"
#include "NumCpp/Core/Types.hpp"
#include "NumCpp/Functions/zeros.hpp"
#include "NumCpp/Linalg/det.hpp"
#include "NumCpp/NdArray.hpp"
#include "NumCpp/Utils/essentiallyEqual.hpp"
 
namespace nc::linalg
{
    //============================================================================
    // Method Description:
    template<typename dtype>
    NdArray<double> inv(const NdArray<dtype>& inArray)
    {
        STATIC_ASSERT_ARITHMETIC_OR_COMPLEX(dtype);
 
        const Shape inShape = inArray.shape();
        if (inShape.rows != inShape.cols)
        {
            THROW_INVALID_ARGUMENT_ERROR("input array must be square.");
        }
 
        NdArray<double> inArrayDouble = inArray.template astype<double>();
        NdArray<int>    incidence     = nc::zeros<int>(inShape);
 
        for (uint32 k = 0; k < inShape.rows - 1; ++k)
        {
            if (utils::essentiallyEqual(inArrayDouble(k, k), 0.))
            {
                uint32 l = k;
                while (l < inShape.cols && utils::essentiallyEqual(inArrayDouble(k, l), 0.))
                {
                    ++l;
                }
 
                inArrayDouble.swapRows(k, l);
                incidence(k, k) = 1;
                incidence(k, l) = 1;
            }
        }
 
        NdArray<double> result(inShape);
 
        for (uint32 k = 0; k < inShape.rows; ++k)
        {
            result(k, k) = -1. / inArrayDouble(k, k);
            for (uint32 i = 0; i < inShape.rows; ++i)
            {
                for (uint32 j = 0; j < inShape.cols; ++j)
                {
                    if ((i - k) && (j - k))
                    {
                        result(i, j) = inArrayDouble(i, j) + inArrayDouble(k, j) * inArrayDouble(i, k) * result(k, k);
                    }
                    else if ((i - k) && !(j - k))
                    {
                        result(i, k) = inArrayDouble(i, k) * result(k, k);
                    }
                    else if (!(i - k) && (j - k))
                    {
                        result(k, j) = inArrayDouble(k, j) * result(k, k);
                    }
                }
            }
 
            inArrayDouble = result;
        }
 
        result *= -1.;
 
        for (int i = static_cast<int>(inShape.rows) - 1; i >= 0; --i)
        {
            if (incidence(i, i) != 1)
            {
                continue;
            }
 
            int k = 0;
            for (; k < static_cast<int>(inShape.cols); ++k)
            {
                if ((k - i) && incidence(i, k) != 0)
                {
                    result.swapCols(i, k);
                    break;
                }
            }
        }
 
        return result;
    }
    NdArray<double> inv(const NdArray<dtype>& inArray) {…}
} // namespace nc::linalg